Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
49 measurements spanning 79 days, net -305. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 33,041–33,441 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 49
Measured (UTC)
Subscribers
Change
25 Oct 2026, 04:26
33,090
+3
24 Oct 2026, 03:06
33,087
-4
23 Oct 2026, 06:27
33,091
-10
22 Oct 2026, 06:28
33,101
+1
20 Oct 2026, 21:59
33,100
-15
19 Oct 2026, 21:44
33,115
-1
19 Oct 2026, 01:07
33,116
-2
18 Oct 2026, 02:17
33,118
+6
17 Oct 2026, 00:16
33,112
+4
16 Oct 2026, 02:09
33,108
+2
15 Oct 2026, 01:07
33,106
+10
13 Oct 2026, 19:48
33,096
-11
10 Oct 2026, 05:21
33,107
+3
6 Oct 2026, 00:41
33,104
-4
30 Sept 2026, 19:38
33,108
-28
18 Sept 2026, 03:57
33,136
-10
15 Sept 2026, 20:56
33,146
-16
14 Sept 2026, 04:41
33,162
-10
12 Sept 2026, 09:02
33,172
-8
10 Sept 2026, 08:02
33,180
first reading
Engagement
256 posts held, back to 28 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 142 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.75%
avg views ÷ 33,090 subscribers
Avg views / post
1,570
81 posts measured
Reaction rate
0.621%
reactions ÷ views · ER floor
Posts in window
94
of 256 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 59 of 81 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 24 October 2026
Posts held
256 (28 July 2026 – 24 October 2026)
Views total
127,342
Reactions total
594
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
25 Oct 2026, 02:51 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Video runtime
52m 28s
Average length
4m 22s
Measured directly from 12 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
1,546 reactions across 151 posts, in 14 distinct kinds. The most used accounts for 62.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
960
62.1%
🔥
174
11.3%
👍
147
9.51%
😁
65
4.20%
😍
55
3.56%
custom 5411571557879277853
45
2.91%
🙏
39
2.52%
🎉
24
1.55%
🤔
14
0.906%
👏
10
0.647%
🤩
6
0.388%
👌
3
0.194%
🤯
3
0.194%
😢
1
0.065%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 156 of the 256 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 1,546 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 256 most recent posts we hold, published 28 July 2026 to 24 October 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Advertising
Ad load
6.25%
16 of 256 posts carry an ad marker
Regulatory tokens
16
posts carrying an erid · 16 distinct tokens
Median views · ads
1,530
over 16 measured posts
Median views · rest
1,550
over 195 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VtzqufSbwR
1
4 September 2026
4 September 2026
2VtzqvB6E7o
1
8 October 2026
8 October 2026
2VtzqvEakMy
1
9 August 2026
9 August 2026
2VtzqvK1grF
1
6 August 2026
6 August 2026
2VtzqvSAeex
1
28 September 2026
28 September 2026
2VtzqvmnJ3f
1
22 October 2026
22 October 2026
2VtzqvoBoXH
1
8 August 2026
8 August 2026
2Vtzqw6ktuh
1
9 August 2026
9 August 2026
2Vtzqw8TSPc
1
3 August 2026
3 August 2026
2VtzqwHU6Ke
1
1 October 2026
1 October 2026
2VtzqwRrjqu
1
23 August 2026
23 August 2026
2VtzqwZ6Gw7
1
20 October 2026
20 October 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it. 4 further tokens are held for this entry and not listed here.
Measured over the 256 most recent posts we hold, published 28 July 2026 to 24 October 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Признать ущерб
🎬 В фильме «Любовь моя» с Хавьером Бардемом есть сцена, где взрослая дочь героя говорит отцу (текст не дословный, скорее как запомнилось):
— Ты понимаешь, что то, что ты делал в моем детстве, причинило мне боль?
И этот вопрос годами носят в себе наши клиенты и часто мы сами. Звучать он может по-разному. Например, так:
— В детстве ты, мама, приходила уставшей с работы, и я старалась вести себя как м…
Почему так сложно выйти из сценария? Разберем сегодня на повторах открытых эфиров в записи 🔥
Клиентка на сессии: «Я вчера познакомилась с мужчиной, и вы знаете, я чувствую, это будущий отец моих детей. Я знаю, что вы скажете, но на этот раз все иначе. Он, правда, не ответил, когда я ему сегодня написала, но наверняка просто занят...»
Клиентка только закончила отношения, в которых партнер ее практически не замечал, …
Поздравляем, у вас сценарий 🔄
Когда я выбираю устроиться на вторую работу, одолжить деньги приятелю, пойти на свидание или отказаться от встречи — это выбираю я сам? Или выбор диктует мой жизненный сценарий?
Отличить не всегда просто.
Основатель интегративного подхода Ричард Эрскин писал: «Сценарий жизни — это по сути краткая инструкция о том, что человек вроде меня делает в мире вроде этого с людьми вроде тебя».
…
🔝🔝🔝Новый курс К.Логинова о работе с чувствами
Ваша скидка — 9 000 ₽ от финальной стоимости 🔥
Открывает продажи курса Константина Логинова «Феноменологическая работа с чувствами и эмоциями в психотерапии» на самых выгодных условиях.
➡️ Это программа, которая даст необходимую базу для системной работы с чувствами: от основ феноменологического подхода до выбора интервенций при работе с отдельными эмоциями.
Подробнее…
✔️ Продолжение эфира можно посмотреть по ссылке:
Смотреть эфир
Впереди — больше подробностей про программу курса и разбор распространенных убеждений о чувствах, которые мешают терапии.
Подключайтесь, чтобы разобраться:
🟣 как убеждения о злости, стыде, тревоге и других чувствах могут заставлять психолога торопить, сдерживать или преждевременно объяснять переживания клиента
🟣 почему распознать чувство, выразить его…
💬 Коллеги, вопросы по ходу эфира можно оставлять в комментариях под этим постом 👇🏻
Наша команда будет следить за обсуждением и поможет, если возникнут организационные или технические сложности.
Желаем вам интересного и полезного просмотра!
🚀 Презентация курса Константина Логинова вот-вот начнется!
Сегодня больше узнаем:
▫️ как устроена новая авторская программа «Феноменологическая работа с чувствами и эмоциями в психотерапии»
▫️ как привычные представления о злости, стыде, вине, страхе и других переживаниях могут влиять на работу психолога.
Здесь будет вестись трансляция только первые 30 минут. Поэтому ждём вас по ссылке ниже. Начинаем в 18:00 МСК!…
Эфир с К.Логиновым: презентация нового курса о чувствах в терапии. Старт — в 18:00 МСК!
Присоединяйтесь к нам по ссылке, чтобы посмотреть весь эфир:
Присоединиться
На встрече вы узнаете:
☑️ как устроена новая авторская программа «Феноменологическая работа с чувствами и эмоциями в психотерапии»
☑️ как привычные представления о злости, стыде, вине, страхе и других переживаниях могут влиять на работу психолога.
Зде…
Открытая презентация нового курса К.Логинова про чувства и эмоции сегодня в 18:00 МСК 🔥
Зарегистрируйтесь на вебинар заранее, чтобы точно попасть на эфир и получить запись:
Зарегистрироваться
Вас ждет презентация и лучшие условия на новый курс Константина Логинова
«Феноменологическая работа с чувствами и эмоциями в психотерапии».
На встрече обсудим:
✔️ почему назвать чувство, выразить его и прожить — не одно и …
Не торопитесь объяснять чувства!
Клиент говорит: «Я злюсь». Что делать психологу — искать причину, помогать выразить злость или выяснять, на кого она направлена?
Согласно феноменологическому подходу, не нужно сразу объяснять переживание.
Сначала важно понять, как оно проявляется: что человек чувствует в теле, куда его тянет, чего хочется, что происходит с ним прямо сейчас.
Психолог не решает за клиента, что «на с…
❤12🔥5
Showing the 12 most recent of 256 posts we hold for @psypractic_ru. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Posts edited after publishing
@psypractic_ru edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
2 September 2026
Most recent edit
2 September 2026
Polls
The 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
📍В 2027 году мы планируем живой курс с очень классным психотерапевтом, настоящим профессионалом своего дела. Он предложил нам 3 темы, которые ранее мы не поднимали. Какая тема интересна вам?
Работа с депрессией через тело31%
Терапия довербальных травм43%
Перинатальные трудности (психологическое бесплодие, замершие беременности и тд)20%
Ничего из предложенного6%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 256 most recent posts we hold, published 28 July 2026 to 24 October 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 4 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Открытые курсы СПб ИДПО для психологов и психотерапевтов @spb_idpo · 27,499 Telegram ranks this channel #5 of 94 here — alongside 93 others — read 10 September 2026
Сообщество психологов @interviziya · 19,237 Telegram ranks this channel #6 of 93 here — alongside 92 others — read 3 October 2026
Университет практической психологии Н.И. Козлова @univer_pp · 20,914 Telegram ranks this channel #8 of 93 here — alongside 92 others — read 26 September 2026
Smart | Медиа про психологию @smart_inc_psy · 23,006 Telegram ranks this channel #10 of 92 here — alongside 91 others — read 18 September 2026
Ярослава Рындина @yarapsy · 24,281 Telegram ranks this channel #13 of 83 here — alongside 82 others — read 16 September 2026
Начинающие психологи @new_psycholog · 19,266 Telegram ranks this channel #16 of 92 here — alongside 91 others — read 2 October 2026
Психология | Psychologies @PsychologiesRussia · 53,183 Telegram ranks this channel #23 of 94 here — alongside 93 others — read 24 August 2026
Ирина Меркулова | Профессия психолог @psy_professional · 25,457 Telegram ranks this channel #25 of 91 here — alongside 90 others — read 13 September 2026
АЛЕКСАНДРА АЛЕКСЕЕВА - ваш психолог @psyaal · 38,502 Telegram ranks this channel #26 of 84 here — alongside 83 others — read 31 August 2026
Mindspa | Самопомощь @mindspa_ru · 35,181 Telegram ranks this channel #27 of 90 here — alongside 89 others — read 3 September 2026
Надежда Семененко. Психология отношений @semenenkon · 20,194 Telegram ranks this channel #28 of 95 here — alongside 94 others — read 27 September 2026
Доктор Курпатов @kurpatov_chtodelat · 33,832 Telegram ranks this channel #31 of 90 here — alongside 89 others — read 4 September 2026
Alter @psyalter_ru · 26,597 Telegram ranks this channel #33 of 92 here — alongside 91 others — read 11 September 2026
Наталья Жукова² @NatalliaZhukova2 · 55,728 Telegram ranks this channel #37 of 89 here — alongside 88 others — read 9 September 2026
Василиса Бутусова @stillvasilisa · 24,600 Telegram ranks this channel #42 of 95 here — alongside 94 others — read 16 September 2026
Инпсихо | Медиа Московского Института Психоанализа @Inpsycho · 31,397 Telegram ranks this channel #47 of 94 here — alongside 93 others — read 6 September 2026
Библиотека психология/ философия/ медицина @biblio_psychology · 19,734 Telegram ranks this channel #52 of 84 here — alongside 83 others — read 1 October 2026
Библиотека психолога @psy_b00k · 21,906 Telegram ranks this channel #56 of 84 here — alongside 83 others — read 22 September 2026
Жизнь и тело с Оксаной @telo_psy · 22,151 Telegram ranks this channel #59 of 95 here — alongside 94 others — read 21 September 2026
Наташа Жукова.Рядом 🫂 @zhukova_ryadom · 27,760 Telegram ranks this channel #59 of 93 here — alongside 92 others — read 9 September 2026
«СУТЬ ВЕЩЕЙ» | Центр интеллектуальных практик Андрея Курпатова @myshlenie_kurpatov · 42,960 Telegram ranks this channel #61 of 89 here — alongside 88 others — read 28 August 2026
Елена Новоселова @novoselova_time · 21,564 Telegram ranks this channel #63 of 88 here — alongside 87 others — read 22 September 2026
Анетта Орлова | Философия жизни @anettaorlova · 40,180 Telegram ranks this channel #64 of 96 here — alongside 95 others — read 4 September 2026
ПСИХОСОМАТИКА | Екатерина Тур @dr_ekaterinatur · 24,054 Telegram ranks this channel #75 of 90 here — alongside 89 others — read 16 September 2026
This channel appears in 24 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 25 October 2026 — this
entry's latest reading, not the date you are reading this.
“Институт психологии Life Practic” (@psypractic_ru), 33,090 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/psypractic_ru.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.